About Exponentia.ai

Exponentia.ai is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the US, UK, UAE, India, and Singapore, we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven organizations.

We are proud partners with global technology leaders such as Databricks, Microsoft, AWS, and Qlik, and have been consistently recognized for innovation, delivery excellence, and trusted advisories.

Awards & Recognitions:
- Innovation Partner of the Year – Databricks, 2024
- Digital Impact Award, UK – 2024 (TMT Sector)
- Rising Star – APJ Databricks Partner Awards 2023
- Qlik’s Most Enabled Partner – APAC

With a team of 450+ AI engineers, data scientists, and consultants, we are on a mission to redefine how work is done, by combining human intelligence with AI agents to deliver exponential outcomes.

Learn more: www.exponentia.ai

About the Role:





We are seeking an experienced Senior Data Engineer with solid hands-on expertise in building and delivering Databricks-based data solutions. The ideal candidate will design and develop high-quality data pipelines, optimize Spark workloads, participate in architectural decision-making, and guide the team in delivering scalable, reliable, and cost-efficient data platforms.

Key Responsibilities

Databricks & Data Engineering
- Design, develop, and optimize data pipelines using Databricks (SQL, Python, PySpark).
- Work with Delta Lake, Lakehouse architecture, and Unity Catalog for governance and lineage.
- Implement and manage Databricks workflows, cluster configurations, and job scheduling.
- Troubleshoot and optimize Spark jobs for performance, reliability, and cost efficiency.
- Integrate Databricks with cloud platforms (AWS/Azure/GCP), data lakes, and external systems.

Technical Ownership & Development
- Own the

📌 Sr Data Engineer (Mumbai)
🏢 Exponentia.ai
📍 Mumbai